[HTML][HTML] Transition from oil & gas drilling fluids to geothermal drilling fluids

IR Collins, DC Floriano, I Paevskiy, J Wee… - Geoenergy Science and …, 2024 - Elsevier
The harsh downhole conditions encountered in geothermal wells, specifically the high
temperatures (HT) together with the toughness of the rock found in many geothermal …

Real-time prediction of rate of penetration by combining attention-based gated recurrent unit network and fully connected neural networks

C Zhang, X Song, Y Su, G Li - Journal of Petroleum Science and …, 2022 - Elsevier
Data-driven models are widely used to predict rate of penetration. However, there are still
challenges on real-time predictions considering influences of formation properties and bit …

Efficiency evaluation of a percussive drill rig using rate-energy ratio based on rock drilling tests

Q Shen, Y Wang, R Cao, Y Liu - Journal of Petroleum Science and …, 2022 - Elsevier
The drilling efficiency of a percussive drill rig which is widely used in rock engineering
attracts great attention. The goal of a higher drilling rate and lower specific energy is …

Modeling and prediction of temporal biogeomechanical properties using novel machine learning approach

O Kolawole, RH Assaad - Rock Mechanics and Rock Engineering, 2023 - Springer
In biogeomechanics, which describes the mechanical responses to microbial-rock
interactions and its succeeding alterations, there is complexity in the estimation and …

Real-time and multi-objective optimization of rate-of-penetration using machine learning methods

C Zhang, X Song, Z Liu, B Ma, Z Lv, Y Su, G Li… - Geoenergy Science and …, 2023 - Elsevier
Rate of penetration and mechanical specific energy are two widely used objectives when
optimizing the drilling process, yet a simultaneous optimization of both is still a challenge …

Develo** GAN-boosted artificial neural networks to model the rate of drilling bit penetration

MH Sharifinasab, ME Niri, M Masroor - Applied Soft Computing, 2023 - Elsevier
The goal of achieving a single model for estimating the rate of drilling bit penetration (ROP)
with high accuracy has been the subject of many efforts. Analytical methods and, later, data …

[HTML][HTML] A systematic review of machine learning modeling processes and applications in ROP prediction in the past decade

Q Li, JP Li, LL **e - Petroleum Science, 2024 - Elsevier
Fossil fuels are undoubtedly important, and drilling technology plays an important role in
realizing fossil fuel exploration; therefore, the prediction and evaluation of drilling efficiency …

Prediction of rate of penetration in directional drilling using data mining techniques

K Shaygan, S Jamshidi - Geoenergy Science and Engineering, 2023 - Elsevier
Rate of penetration (ROP) represents drilling speed and its productive time during drilling
operations in oil and gas wells. A predictive model that links ROP to its influential …

Automated neural network optimization for data-driven predictive models: an application to ROP in drilling

I Khebouri, S Rechak, IA Boulham, D Sui, N Ramzan - Soft Computing, 2024 - Springer
The rate of penetration (ROP) holds significant importance in optimizing a drilling process.
ROP assists in alleviating concerns in critical scenarios where limited visibility over …

A hybrid GBPSO algorithm for permeability estimation using particle size distribution and porosity

H Izadi, M Roostaei, SA Hosseini, M Soroush… - Journal of Petroleum …, 2022 - Elsevier
Particle size distribution measurements can be used for permeability estimation, and it is
widely accepted that there exhibits a certain degree of correlation between permeability and …